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Stars gained: From Apr 26, 2026 to Nov 3, 2026, each from zeroStars gainedFrom Apr 26, 2026 to Nov 3, 2026, each from zero0200400Apr 26Nov 3, 2026ahmedfgad/GeneticAlgorithmPythondonnemartin/data-science-ipython-notebooks
Stars: The star count at the end of each dayStarsThe star count at the end of each day020KApr 25Nov 3, 2026ahmedfgad/GeneticAlgorithmPythondonnemartin/data-science-ipython-notebooks

Facts

Factahmedfgad/GeneticAlgorithmPython

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

donnemartin/data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

Stars2,23429,387
Net stars, last 30 days+7+45
Largest star day+2 on May 6, 2026+16 on May 20, 2026
Milestone reached in the recordNoneNone
Forks5067,999
LanguagePythonPython
LicenseBSD-3-CLAUSEOther license
CreatedDec 11, 2018Jan 23, 2015
Last pushOct 23, 2026Mar 20, 2024
ArchivedNoNo
Health facts: Maintenance2 of 4 checks (2 without data)1 of 4 checks
Health facts: Releases2 of 3 checks (1 without data)0 of 3 checks (1 without data)
Health facts: Security practice0 of 1 check (1 without data)0 of 1 check
Health facts: Community files1 of 3 checks (2 without data)1 of 3 checks
Commits, last 13 weeksNo data0
Weeks with commits, last 52No data0 of 52
In the Repository Index sinceOct 22, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: python, numpy, machine-learning, deep-learning. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined

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